tweetbotornot

Arguments

x

Object to be classified. Can be user IDs, screen names, or
data frames returned by rtweet.

fast

Logical indicating whether to use the fast (lighter) model. The
default (fast = FALSE) method uses the most recent 100 tweets posted by
users to determine the probability of bot. The fast (fast = TRUE) method
only uses users-level data, which is easier to get in large quantities from
Twitter's APIS but overall less accurate.

Value

Classifications for all users expressed as probability of whether
each account is a bot.

A named (screen names or user IDs depending on input) numeric
vector of probabilities